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Networks involved in Olfaction and their Dynamics using Independent Component Analysis (ICA) and unified Structural Equation Modeling (uSEM)

机译:使用独立成分分析(ICA)和统一结构方程模型(uSEM)参与嗅觉及其动力学的网络

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摘要

The study of human olfaction is complicated by the myriad of processing demands in conscious perceptual and emotional experiences of odors. Combining functional magnetic resonance imaging with convergent multivariate network analyses, we examined the spatiotemporal behavior of olfactory-generated BOLD signal in healthy adults. The experimental fMRI paradigm was found to offset the limitations of olfactory habituation effects and permitted the identification of five functional networks. Analysis delineated separable neuronal circuits that were spatially centered in the primary olfactory cortex, striatum, dorsolateral prefrontal cortex, rostral prefrontal cortex/anterior cingulate, and parietal-occipital junction. We hypothesize that these functional networks subserve primary perceptual, affective/motivational and higher-order olfactory-related cognitive processes. Results provided direct evidence for the existence of parallel networks with top-down modulation for olfactory processing and clearly distinguished brain activations that were sniffing-related vs. odor-related. A comprehensive neurocognitive model for olfaction is presented that may be applied to broader translational studies of olfactory function, aging and neurological disease.
机译:对人类嗅觉的研究由于气味的自觉感知和情感体验中的大量处理需求而变得复杂。结合功能磁共振成像与聚合多元网络分析,我们检查了健康成年人中嗅觉产生的BOLD信号的时空行为。实验性功能磁共振成像范式被发现可以抵消嗅觉习惯效应的局限性,并可以鉴定出五个功能网络。分析描述了可分离的神经元回路,这些回路在空间上位于原发性嗅觉皮层,纹状体,背外侧前额叶皮层,延髓前额叶皮层/前扣带回和顶叶枕连接处。我们假设这些功能网络服务于主要的知觉,情感/动机和高阶嗅觉相关的认知过程。结果为嗅觉处理的自上而下调制的并行网络的存在提供了直接证据,并清楚地区分了嗅觉相关与气味相关的大脑激活。介绍了嗅觉的综合神经认知模型,可将其应用于嗅觉功能,衰老和神经系统疾病的更广泛的翻译研究。

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